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Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions: 163 (Intelligent Systems Reference Library, 163) - Tapa blanda

Libro 134 de 188: Intelligent Systems Reference Library
 
9789811387616: Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions: 163 (Intelligent Systems Reference Library, 163)
Tapa blanda
ISBN 10: 9811387613 ISBN 13: 9789811387616
Editorial: Springer-Verlag GmbH, 2020

Sinopsis

This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms. 

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Acerca del autor

Sudeep Tanwar is an Associate Professor in the Computer Engineering Department at the Institute of Technology of Nirma University, Ahmedabad, India. He received his Ph.D. in 2016 from the Faculty of Engineering and Technology, Mewar University, India, with a specialization in Wireless Sensor Networks. His current interests include routing issues in WSN, integration of sensors in the cloud, computational aspects of smart grids, and assessment of fog computing in BASN. He has authored three books: Routing in Heterogeneous Wireless Sensor Networks (ISBN: 978-3-330-02892-0), Big Data Analytics (ISBN: 978-93-83992-25-8), and Mobile Computing (ISBN: 978-93-83992-25-6). He is an associate editor of the Security and Privacy Journal, and is a member of the IAENG, ISTE, and CSTA.
 
Dr. Sudhanshu Tyagi is an Assistant Professor in the Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Deemed University, India. He received his Ph.D. in 2016 from the Faculty of Engineering and Technology, Mewar University, India, with a specialization in Wireless Sensor Networks; and a Master’s degree in Technology with honors in Electronics & Communication Engineering in 2005 from the National Institute of Technology, Kurukshetra, India. His research focuses on wireless sensor networks and body area sensor networks. He has co-authored two books:Big Data Analytics (ISBN: 978-93-83992-25-8), and Mobile Computing (ISBN: 978-93-83992-25-6). He is an associate editor of the Security and Privacy Journal, and is a member of the IEEE, IAENG, ISTE, and CSTA.
 
Dr. Neeraj Kumar is currently an Associate Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Deemed University, India. He received his Ph.D. degree in Computer Science and Engineering from Shri Mata Vaishno Devi University, India, in 2009. He was then a Postdoctoral Research Fellow at Coventry University, U.K. His research focuses on distributed systems, security and cryptography and body area networks. He is on the editorial board of the Journal of Network and Computer Applications and the International Journal of Communication Systems. He has published more than 150 research papers in leading journals and conferences in the areas of communications, security and cryptography. He is also a member of the IEEE and IEEE ComSoc.

De la contraportada

This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer-Verlag GmbH
Año de publicación
2020
Idioma
Inglés
ISBN 10 
9811387613
ISBN 13 
9789811387616
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
477
Editor
Tanwar Sudeep, Tyagi Sudhanshu, Kumar Neeraj
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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